scholarly journals Amplitude-Based Filtering for Video Magnification in Presence of Large Motion

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2312 ◽  
Author(s):  
Xiu Wu ◽  
Xuezhi Yang ◽  
Jing Jin ◽  
Zhao Yang
Keyword(s):  
State Of The Art ◽  
The State ◽  
Experimental Results ◽  
Amplitude Characteristic ◽  
Eulerian Approach ◽  
Filtering Algorithm ◽  
Objective Evidence ◽  
The World ◽  
Large Motion ◽  
Spectrum Amplitude

Video magnification reveals important and informative subtle variations in the world. These signals are often combined with large motions which result in significant blurring artifacts and haloes when conventional video magnification approaches are used. To counter these issues, this paper presents an amplitude-based filtering algorithm that can magnify small changes in video in presence of large motions. We seek to understand the amplitude characteristic of small changes and large motions with the goal of extracting accurate signals for visualization. Based on spectrum amplitude filtering, the large motions can be removed while small changes can still be magnified by Eulerian approach. An advantage of this algorithm is that it can handle large motions, whether they are linear or nonlinear. Our experimental results show that the proposed method can amplify subtle variations in the presence of large motion, as well as significantly reduce artifacts. We demonstrate the presented algorithm by comparing to the state-of-the-art and provide subjective and objective evidence for the proposed method.

scholarly journals Estado del arte del rendimiento académico en la educación media

2014 ◽  
Vol 17 (17) ◽  
pp. 197-220
Author(s):  
Oscar Hernán Cerquera Losada
Keyword(s):  
Academic Achievement ◽  
Secondary Education ◽  
State Of The Art ◽  
School Achievement ◽  
The State ◽  
Main Research ◽  
The World ◽  
El Sistema ◽  
The Individual

Este documento muestra el Estado de arte de los determinantes del rendimiento académico en la educación media, teniendo en cuenta las principales investigaciones realizadas, tanto a nivel nacional como internacional, acerca de los factores que influyen en el logro escolar de los estudiantes. Con este trabajo, se busca establecer las principales variables, tanto en Colombia como en algunos lugares del mundo, que afectan el desempeño académico de los estudiantes. Este documento se organiza en dos sesiones, determinantes a nivel mundial y determinantes a nivel colombiano; cada sesión clasifica las investigaciones de acuerdo a los factores del estudiante, de la escuela y las características organizacionales y políticas. A pesar de existir muchas investigaciones sobre el tema, aún no se ha llegado a un consenso general sobre cómo determinar los factores del  rendimiento académico, pues en la realidad son muchas las características del individuo, la escuela o el sistema que se relacionan entre sí de diferente manera y pueden afectar el logro estudiantil.ABSTRACTThis document shows the state of the art of the determinants of academic achievement in secondary education, taking into account the main research conducted, both nationally and internationally, about the factors that influence school achievement of students. With this paper, we seek to establish the main variables which affect the academic achievement of students in Colombia as well as in some parts of the world. This document is organized in two sessions: world and Colombian determinants; each session classifies research according to the factors of the student, the school and organizational and political characteristics. Although there is much research on the topic so far it has not been possible to reach a consensus on how to determine the factors of academic achievement, because in reality many characteristics of the individual, of the school or of the system relate to each other differently and can affect student achievement.RESUMOEste documento mostra o Estado da arte dos determinantes do rendimento escolar no ensino medio, tendo em conta às principais pesquisas realizadas, tanto a nível nacional como internacionalmente, sobres os fatores que influenciam o desempenho escolar dos estudantes. Com este trabalho, se procura estabelecer as principais variáveis, tanto na Colômbia e em alguns lugares do mundo, afetando o desempenho acadêmico dos estudantes. Este documento está organizado em duas sessões, determinantes a nível mundial e determinantes a nível colombiano; cada sessão clasifica as pesquisas de acordó a os fatores do estudante, da escola e das características organizacionais e políticas. Embora haja muitas pesquisas sobre o tema, ainda não se chegou a um consenso geral sobre os fatores determinantes no desempenho acadêmico, porque na realidade são muitas as características do indivíduo, a escola ou o sistema que se relacionam uns com os outros de forma diferente e podem afetar o desempenho acadêmico.

scholarly journals A Multilayer CARU Framework to Obtain Probability Distribution for Paragraph-Based Sentiment Analysis

2021 ◽  
Vol 11 (23) ◽  
pp. 11344
Author(s):  
Wei Ke ◽  
Ka-Hou Chan
Keyword(s):  
Probability Distribution ◽  
Information Extraction ◽  
Sentiment Analysis ◽  
State Of The Art ◽  
Final Analysis ◽  
The State ◽  
Experimental Results ◽  
Content Adaptive

Paragraph-based datasets are hard to analyze by a simple RNN, because a long sequence always contains lengthy problems of long-term dependencies. In this work, we propose a Multilayer Content-Adaptive Recurrent Unit (CARU) network for paragraph information extraction. In addition, we present a type of CNN-based model as an extractor to explore and capture useful features in the hidden state, which represent the content of the entire paragraph. In particular, we introduce the Chebyshev pooling to connect to the end of the CNN-based extractor instead of using the maximum pooling. This can project the features into a probability distribution so as to provide an interpretable evaluation for the final analysis. Experimental results demonstrate the superiority of the proposed approach, being compared to the state-of-the-art models.

Global Systemic Shift Redux: The State of the Art

2015 ◽  
Vol 9 (2) ◽  
Author(s):  
Roland Benedikter ◽  
Katja Siepmann
Keyword(s):  
State Of The Art ◽  
The State ◽  
Work In Progress ◽  
The World ◽  
Global Systemic Shift

AbstractThe multidimensional nature of globalization is a work in progress, in many different ways throughout the world. This assessment follows upon an earlier one about the so-called global systemic shift – away from linear, hierarchical, and largely Eurocentric systems of thought and action toward something new, still to be defined and understood.

Multimedia-Enabled Dot Codes as Communication Aids

2021 ◽  
pp. 331-345
Author(s):  
Shigeru Ikuta ◽  
Masamichi Watanuki ◽  
Shinya Abe
Keyword(s):  
Special Needs ◽  
State Of The Art ◽  
The State ◽  
Digital Information ◽  
Two Dimensional ◽  
Basic Information ◽  
Communication Aids ◽  
Teaching Materials ◽  
The World ◽  
The Creation

Grid Onput is a set of novel two-dimensional codes comprising extremely small dots. The present authors recently developed software to overlap the dot codes on the user's designed sheet, to create a content to replay audios, to create a standalone application to replay multimedia, and to create an application to replay multimedia on iPad. Simply touching the dot codes with a speaking-pen and/or a dot-code reader enables users to directly access the corresponding digital information; a maximum of four mediums can be easily linked to each dot code icon. In collaboration with schoolteachers all over the world, one of the authors, Shigeru Ikuta, has been creating a variety of original self-made content and conducting various activities at both general and special needs schools. This chapter outlines the recent development of the state-of-the-art Grid Onput dot code technology and presents basic information regarding the creation of original teaching materials using newly developed software and the use at both general and special needs schools.

Calligraphic Video

2010 ◽  
Vol 1 (1) ◽  
pp. 67-83 ◽  
Author(s):  
Sha Xin Wei
Keyword(s):  
Heat Flow ◽  
User Interfaces ◽  
Physical Environment ◽  
State Of The Art ◽  
Computational Physics ◽  
Graphical User Interfaces ◽  
The State ◽  
Point Of View ◽  
The World ◽  
Geometric Elements

Since 1984, Graphical User Interfaces have typically relied on visual icons that mimic physical objects like the folder, button, and trash can, or canonical geometric elements like menus, and spreadsheet cells. GUI’s leverage our intuition about the physical environment. But the world can be thought of as being made of stuff as well as things. Making interfaces from this point of view requires a way to simulate the physics of stuff in realtime response to continuous gesture, driven by behavior logic that can be understood by the user and the designer. The author argues for leveraging the corporeal intuition that people learn from birth about heat flow, water, smoke, to develop interfaces at the density of matter that leverage in turn the state of the art in computational physics.

scholarly journals RDFuzz: Accelerating Directed Fuzzing with Intertwined Schedule and Optimized Mutation

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Jiaxi Ye ◽  
Ruilin Li ◽  
Bin Zhang
Keyword(s):  
Large Scale ◽  
State Of The Art ◽  
The State ◽  
Experimental Results ◽  
Exploration And Exploitation ◽  
Balance Problem ◽  
Evaluation Strategy ◽  
Testing Schedule ◽  
Available Resources

Directed fuzzing is a practical technique, which concentrates its testing energy on the process toward the target code areas, while costing little on other unconcerned components. It is a promising way to make better use of available resources, especially in testing large-scale programs. However, by observing the state-of-the-art-directed fuzzing engine (AFLGo), we argue that there are two universal limitations, the balance problem between the exploration and the exploitation and the blindness in mutation toward the target code areas. In this paper, we present a new prototype RDFuzz to address these two limitations. In RDFuzz, we first introduce the frequency-guided strategy in the exploration and improve its accuracy by adopting the branch-level instead of the path-level frequency. Then, we introduce the input-distance-based evaluation strategy in the exploitation stage and present an optimized mutation to distinguish and protect the distance sensitive input content. Moreover, an intertwined testing schedule is leveraged to perform the exploration and exploitation in turn. We test RDFuzz on 7 benchmarks, and the experimental results demonstrate that RDFuzz is skilled at driving the program toward the target code areas, and it is not easily stuck by the balance problem of the exploration and the exploitation.

scholarly journals FedOpt: Towards Communication Efficiency and Privacy Preservation in Federated Learning

2020 ◽  
Vol 10 (8) ◽  
pp. 2864 ◽  
Author(s):  
Muhammad Asad ◽  
Ahmed Moustafa ◽  
Takayuki Ito
Keyword(s):  
Privacy Preservation ◽  
State Of The Art ◽  
Homomorphic Encryption ◽  
Evaluation Criteria ◽  
The State ◽  
Compression Algorithm ◽  
Experimental Results ◽  
Local Learning ◽  
Learning Models ◽  
Communication Efficiency

Artificial Intelligence (AI) has been applied to solve various challenges of real-world problems in recent years. However, the emergence of new AI technologies has brought several problems, especially with regard to communication efficiency, security threats and privacy violations. Towards this end, Federated Learning (FL) has received widespread attention due to its ability to facilitate the collaborative training of local learning models without compromising the privacy of data. However, recent studies have shown that FL still consumes considerable amounts of communication resources. These communication resources are vital for updating the learning models. In addition, the privacy of data could still be compromised once sharing the parameters of the local learning models in order to update the global model. Towards this end, we propose a new approach, namely, Federated Optimisation (FedOpt) in order to promote communication efficiency and privacy preservation in FL. In order to implement FedOpt, we design a novel compression algorithm, namely, Sparse Compression Algorithm (SCA) for efficient communication, and then integrate the additively homomorphic encryption with differential privacy to prevent data from being leaked. Thus, the proposed FedOpt smoothly trade-offs communication efficiency and privacy preservation in order to adopt the learning task. The experimental results demonstrate that FedOpt outperforms the state-of-the-art FL approaches. In particular, we consider three different evaluation criteria; model accuracy, communication efficiency and computation overhead. Then, we compare the proposed FedOpt with the baseline configurations and the state-of-the-art approaches, i.e., Federated Averaging (FedAvg) and the paillier-encryption based privacy-preserving deep learning (PPDL) on all these three evaluation criteria. The experimental results show that FedOpt is able to converge within fewer training epochs and a smaller privacy budget.

scholarly journals Saga of Superfluid Solids

Physics ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 49-66 ◽  
Author(s):  
Vyacheslav I. Yukalov
Keyword(s):  
Numerical Simulations ◽  
State Of The Art ◽  
Theoretical Models ◽  
The State ◽  
Experimental Results ◽  
Standing Problem

The article presents the state of the art and reviews the literature on the long-standing problem of the possibility for a sample to be at the same time solid and superfluid. Theoretical models, numerical simulations, and experimental results are discussed.

scholarly journals Is the diversity of the Beach Flies adequately known? Some notes on the state of the art of current knowledge (Diptera: Canacidae)

2015 ◽  
pp. 99-111
Author(s):  
Lorenzo Munari
Keyword(s):  
Bay Of Bengal ◽  
State Of The Art ◽  
Current Knowledge ◽  
Neotropical Region ◽  
West African ◽  
The State ◽  
South American ◽  
The West ◽  
Scientific Institutions ◽  
The World

An overview of the major zoogeographical gaps in our knowledge of the world beach flies (subfamilies Apetaeninae, Horaismopterinae, Pelomyiinae, and Tethininae) is provided. The identified areas treated in this work are as follows: the subarctic Beringia, the South American circum-Antarctic islands, the Neotropical Region south of the equator, most of the West African seacoasts, the huge area ranging from India, across the Bay of Bengal, to Sumatra and Java, and most of Australia. Apart from the inhospitable northernmost and southernmost areas of the planet, which feature a real very low biodiversity, the remaining vast areas dealt with in this work woefully suffer a dramatic paucity of field collections, as well as of previously collected materials preserved in scientific institutions. This might seem a truism that, however, must be emphasized in order to unequivocally identify the geographic areas that need to be further investigated

scholarly journals Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis

2019 ◽  
Vol 33 ◽  
pp. 4295-4303 ◽  
Author(s):  
Rung-Tzuo Liaw ◽  
Chuan-Kang Ting
Keyword(s):  
Evolutionary Algorithms ◽  
Evolutionary Algorithm ◽  
State Of The Art ◽  
The State ◽  
Experimental Results ◽  
Benchmark Problems ◽  
Good Estimator ◽  
Multiple Tasks ◽  
Effectiveness And Efficiency ◽  
Evolutionary Multitasking

Evolutionary multitasking is a significant emerging search paradigm that utilizes evolutionary algorithms to concurrently optimize multiple tasks. The multi-factorial evolutionary algorithm renders an effectual realization of evolutionary multitasking on two or three tasks. However, there remains room for improvement on the performance and capability of evolutionary multitasking. Beyond three tasks, this paper proposes a novel framework, called the symbiosis in biocoenosis optimization (SBO), to address evolutionary many-tasking optimization. The SBO leverages the notion of symbiosis in biocoenosis for transferring information and knowledge among different tasks through three major components: 1) transferring information through inter-task individual replacement, 2) measuring symbiosis through intertask paired evaluations, and 3) coordinating the frequency and quantity of transfer based on symbiosis in biocoenosis. The inter-task individual replacement with paired evaluations caters for estimation of symbiosis, while the symbiosis in biocoenosis provides a good estimator of transfer. This study examines the effectiveness and efficiency of the SBO on a suite of many-tasking benchmark problems, designed to deal with 30 tasks simultaneously. The experimental results show that SBO leads to better solutions and faster convergence than the state-of-the-art evolutionary multitasking algorithms. Moreover, the results indicate that SBO is highly capable of identifying the similarity between problems and transferring information appropriately.

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